在具有任意数量海底单元的电缆式海啸测量系统中模拟生成树协议

Pub Date : 2024-07-25 DOI:10.47836/pjst.32.4.22
Mohammad Hamdani, A. A. Ananda Kusuma, Dedy Irawan, Tahar Agastani, Xerandy Xerandy
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摘要

印度尼西亚是世界第四大海啸灾害多发国,因此需要一个可靠、及时的预警系统来减轻灾害的影响。印尼电缆海啸仪(INA-CBT)是一种海底海啸探测系统,由海底压力传感器和岸站组成,通过水下光纤连接,旨在为受威胁地区提供早期预警。由于该系统在减灾方面发挥着关键作用,因此系统必须能够抵御链路故障并及时提供预警信息。该系统仍处于早期实施阶段,而且规模较小。在网络方面,它使用专有的第 2 层(L2)通信协议。将这种网络扩展到更大规模并评估系统性能可能会因成本高昂和灵活性较低而面临挑战。本文旨在应对这些挑战,通过使用第二层开放协议(如生成树协议(STP)和快速生成树协议(RSTP)),提出了一个可扩展的 INA-CBT 系统仿真框架。该框架在 OMNET++ 模拟器中进行。实验结果表明,使用 STP 和 RSTP 的停机时间仍低于允许值。与 STP 相比,RSTP 的故障切换时间更快,但与 STP 的稳定故障切换时间相比,RSTP 的故障切换时间是波动的。实验还表明,停机时间的变化受两个方面的影响:网络中海底设备(OBU)的数量及其被阻塞端口的位置。
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Simulating Spanning Tree Protocols in a Cable-based Tsunameter System with an Arbitrary Number of Ocean Bottom Units
As a country with the fourth largest population in the world prone to tsunami disasters, Indonesia needs a reliable, timely early warning system to mitigate the impact of disasters. Indonesia cable-based tsunameter (INA-CBT) is an undersea tsunami detection system comprising undersea pressure sensors and a shore station connected by underwater fiber optics designed to provide early warning to the threatened area. Since this system performs a critical role in disaster mitigation, the system must be resilient to link failure and deliver timely warning information. This system is still in its early implementation and still on a small scale. Network-wise, it uses a proprietary Layer 2 (L2) communication protocol. Extending such a network to a larger scale and assessing the system’s performance may introduce challenges due to high costs and offer less flexibility. This paper aims to address those challenges and presents a scalable simulation framework of the INA-CBT system by using L2 open protocols such as spanning tree protocol (STP) and rapid spanning tree protocol (RSTP). The framework is conducted in OMNET++ simulator. The experiment shows that the downtime duration using STP and RSTP is still below the allowed value. RSTP shows a faster failover time than STP, but RSTP downtime duration fluctuates compared to a steady one of STP. The experiments also demonstrated that the variation of downtime is affected by two aspects: the number of ocean bottom units (OBUs) in the network and the position of their blocked port.
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